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Feed Intake of Growing Dairy Heifers Raised under Tropical Conditions: A Model Evaluation Using Meta-Analysis

dc.contributor.authorBusanello, Marcosen
dc.contributor.authorSousa, Debora Gomes deen
dc.contributor.authorMendonça, Filipe Araújo Canedoen
dc.contributor.authorDaley, Veridiana L.en
dc.contributor.authorde Almeida, Rodrigoen
dc.contributor.authorBittar, Carla Maris Machadoen
dc.contributor.authorLanna, Dante Pazzanese Duarteen
dc.date.accessioned2021-11-11T19:22:52Zen
dc.date.available2021-11-11T19:22:52Zen
dc.date.issued2021-11-07en
dc.date.updated2021-11-11T14:57:52Zen
dc.description.abstractSeveral models for predicting dry matter intake (DMI) of replacement dairy heifers have been developed; however, only a few have been evaluated using data from heifers of different breeds raised under tropical conditions. Thus, the objective of this study was to evaluate the DMI equations for dairy heifers managed under tropical conditions. A total of 230 treatment means from 61 studies using dairy heifers (<i>n</i> = 1513 heifers, average body weight = 246 kg) were used. The animals were grouped into two groups based on their genetics: (1) <i>Bos taurus</i> (Holstein, Jersey, Brown Swiss, and Holstein × Jersey) and (2) crossbred (<i>Bos taurus</i> × <i>Bos indicus</i>). Seven previously published DMI equations (HH, HHJ, QUI, STA, 2001 NRC, OFLin, and OFNLin) for heifers were evaluated using mean bias, slope bias, mean squared prediction errors (MSPE) and its decomposition, and other model evaluation statistics. For <i>Bos taurus</i> heifers, our results indicated that OFNLin and HHJ had lower mean bias (0.13 and 0.16 kg/d, respectively) than other models. There was no significant slope or mean bias for HHJ and OFNLin (<i>p</i> &gt; 0.05), indicating agreement between the observed and predicted DMI values. All other models had a significant mean bias (<i>p</i> &lt; 0.05), whereas the QUI model also presented a significant slope bias (<i>p</i> &lt; 0.02). For crossbred heifers, the STA equation was the only one that did not present mean and slope bias significance (<i>p</i> &gt; 0.05). All other DMI models had significant mean bias when evaluated using crossbred data (<i>p</i> &lt; 0.04), and QUI, OFLin, and OFNLin also presented significant slope bias (<i>p</i> &lt; 0.01). Based on our results, predictions from OFNLin and HHJ best represented the observed DMI of <i>Bos taurus</i> heifers (MSPE ≤ 1.25 kg<sup>2</sup>/d<sup>2</sup>, mean bias ≤ 0.16 kg/d), whereas STA was the best model for crossbred heifers (MSPE = 1.25 kg<sup>2</sup>/d<sup>2</sup>, mean bias = 0.09 kg/d). These findings indicate that not all available models are adequate for estimating the DMI of dairy heifers managed under a tropical climate, with HHJ and OFNLin for <i>Bos taurus</i> and STA for crossbreds being the most suitable models for DMI prediction. There is evidence that models from <i>Bos taurus</i> heifers could be used to estimate the DMI of heifers under tropical conditions. For heifer ration formulation is necessary to consider that DMI is influenced by breed, diet, management, and climate. Future work should also include animal genetic and environmental variables for the prediction of DMI in dairy heifers.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationBusanello, M.; Sousa, D.G.; Mendonça, F.A.C.; Daley, V.L.; Almeida, R.D.; Bittar, C.M.M.; Lanna, D.P.D. Feed Intake of Growing Dairy Heifers Raised under Tropical Conditions: A Model Evaluation Using Meta-Analysis. Animals 2021, 11, 3181.en
dc.identifier.doihttps://doi.org/10.3390/ani11113181en
dc.identifier.urihttp://hdl.handle.net/10919/106609en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectdry matter intakeen
dc.subjectdairy heifersen
dc.subjectBos taurusen
dc.subjectBos indicusen
dc.subjectempirical modelsen
dc.titleFeed Intake of Growing Dairy Heifers Raised under Tropical Conditions: A Model Evaluation Using Meta-Analysisen
dc.title.serialAnimalsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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